最大方差比图像分割算法的一种改进——以前磁曲线图像为例  

Improvement on Algorithm of Image Segmentation with the Biggest Variance Ratio——By Taking Image of Front Magnetic Curve for Example

作　　者：尚福华[1] 纪延瑶[1] 栾泊[1] 

机构地区：[1]大庆石油学院计算机与信息技术学院,黑龙江大庆183318

出　　处：《长江大学学报（自科版）（上旬）》2006年第3期51-53,共3页JOURNAL OF YANGTZE UNIVERSITY (NATURAL SCIENCE EDITION) SCI ＆ ENG

摘　　要：在经典的最大方差比图像分割算法的基础上,以油田前磁曲线图像为例,提出一种新的适应于前磁曲线图像分割方法。通过对油田前磁曲线图像的处理效果来看,该算法比经典的最大方差比图像分割算法有更好的分割效果。该算法不仅仅对前磁曲线图像有效,对具有与其相似直方图的图像,均可用该算法进行图像分割。Based on traditional method of image segmentation with the biggest variance ratio, a new method is proposed for image segmentation of front magnetic curve by taking front magnetic curve obtained from an oilfield for example. Seeing from the analysis of the image process effect, the new algorithm has much better segmentation effect than that of traditional image segmentation with the biggest variance ratio. The algorithm is not only effective for the image of front magnetic curve, also effective for image segmentation of other similar histograms.

关 键 词：图像分割 闻值 方差比 前磁曲线 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]